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Struggling with Huge Data Sets? Here are Simple Solutions

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Mayur Rathod
Struggling with Huge Data Sets? Here are Simple Solutions

What is the hottest trend currently? What products do consumers buy between April to July? What offers will attract consumers even during unfavourable weather? Which franchise has been exceeding sales expectations for three quarters in a row? 


There was a time when the answers to these questions were sheer assumptions. The time has changed now. Companies are smartly using data to make business decisions. They collect and produce vast amounts of data, including business transactions, sales figures, customer logs, and details pertaining to stakeholders to analyze it for growing business and get an edge over the competitors. 


The data is only valuable if the user can derive valuable insights. Otherwise, vast volumes of data, referred to as Big Data, can be overwhelming. 


Let us take a look at challenges and the ways to overcome them. 


1. Insufficient understanding


The top management and data professionals might realize the importance of data and analytics, but most times, employees lack a proper understanding of big data and analytics. As a result, it leads to hazards such as deletion of important data or improper data format. 

It is essential to educate employees about how data contributes to the company’s growth. The organization can conduct workshops on data storage, processing, and data sources to ensure that their data is managed right from the day it is entered into the system. Robust business analytics software solutions can help in effective data management. 


2. Exponential data growth


The storage of voluminous and unstructured data is a crucial challenge for most companies. As a result, many organizations seek services of data centres or databases to store data. 

However, data storage is not sufficient. It should be managed well so that the users can access the data when required. Deduplication, compression, and tiering are techniques to store data compactly. 


3. Selecting the right tools

There are plenty of data storage and business analytics software available like HBase, Cassandra, Hadoop MapReduce and Spark. However, more options create more confusion. Choosing the wrong technology wastes time, money, and resources. 

Companies should seek professional help in choosing business analytics software solutions. The professionals have a deep understanding of the technology, and with their extensive experience, they can help companies make the right decisions.  


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Mayur Rathod
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